The Application of Automatic Routing Technology in the Logistics System based on Intemet of Things

According to the development trend of intelligent logistics in our country, combining database, communication, GIS （Geography lnfolrnation System） technology, the paper study the key core technology of each module monitoring platform for vehicle monitoring system, and establish logistics transport vehicle monitoring platform that oriented small and medium-sized logistics enterprises, to realize the whole process of real-time monitoring for logistics and transport the vehicle from the warehouse to transportation, promote the informationization of logistics and transport.

Edge computing technologies for Internet of Things： a primer

with the rapid development of mobile intemet and Internet of Things applications, the conventional centralized cloud computing is encountering severe challenges, such as high latency, low Spectral Efficiency （SE）, and nonadaptive machine type of communication. Motivated to solve these challenges, a new technology is driving a trend that shifts the function of centralized cloud computing to edge devices of networks. Several edge computing technologies originating from different backgrounds to decrease latency, improve SE, and support the massive machine type of communication have been emerging. This paper comprehensively presents a tutorial on three typical edge computing technologies, namely mobile edge computing, cloudlets, and fog computing. In particular, the standardization efforts, principles, architectures, and applications of these three technologies are summarized and compared. From the viewpoint of radio access network, the differences between mobile edge computing and fog computing are highlighted, and the characteristics of fog computing-based radio access network are discussed. Finally, open issues and future research directions are identified as well.

Adaptive Resource Allocation Algorithm for Internet of Things with Bandwidth Constraint

In order to improve the transmission accuracy and efficiency of sensing and actuating signals in Internet of Things （loT） and ensure the system stability, an adaptive resource allocation algorithm is proposed, which dynami- cally assigns the network bandwidth and priority among components according to their signals＇ frequency domain characteristics. A remote sensed and controlled unmanned ground vehicle （UGV） path tracking test-bed was devel- oped and multiple UGV＇s tracking error signals were measured in the simulation for performance evaluation. Results show that with the same network bandwidth constraints, the proposed algorithm can reduce,, the accumulated and maximum errors of UGV path tracking by over 60% compared with the conventional static algorithm.

Design of Library Management System based on Internet of Things

This paper briefly introduces the concept and the development of technology of the Internet of things, systematically elaborated the key technology of RFID, sensors, smart chip and wireless transmission network in process of construction for library management system, and put forward library management system based on the Intemet of things. The paper design architecture scheme for the system in accordance with the reader＇ s habit, management staff and the library functions. The purpose of the article expound the concept of intelligent library, provides the strategy guide for intelligent library development system based on the Interact of things.

Research on the Distributed Data Mining Cloud Framework Oriented Internet of Things

The rapid development of Internet of Things imposes new requirements on the data mining system, due to the weak capability of traditional distributed networking data mining. To meet the needs of the Internet of Things, this paper proposes a novel distributed data-mining model to realize the seamless access between cloud computing and distributed data mining. The model is based on the cloud computing architecture, which belongs to the type of incredible nodes.

Assessing the Impact of Internet of Everything Technologies in Football

Internet of Things has been one of the hottest technology concepts of recent years. It started with the wearable devices and any digital device connected online, and evolved to a web connected network linking everything from devices, sensors, machines, people, processes, companies, and so on, creating the Interact of Everything concept. There are many application areas, but one stands out due to its popularization and importance to industry, Sports, and specifically Football. Football has been reinventing itself with the implementation of technology, recreating the formula used in the United States Major Sports, where technology helps to enhance the spectacle experience, expand game analysis by coaches, players, and media, provide live refereeing and improve health recoveries and detection of injuries. This research is a state-of-situation regarding technology in football, recognizing the presently used technologies and what could be implemented, and ultimately measuring the impact of these devices in Football.

A High-Assurance Trust Model for Digital Community Control System Based on Internet of Things

Security issues and lnternet of Things （loT） become indispensable part in digital community as loT develops with the pervasive introduction of additional ＂smart＂ sensors and devices over the last decades, and it necessitates the implementation of information security principle in digital community system. A three-level criticality model to determine the potential impact is proposed in digital community system when various devices lost in this paper. Combining the actual security requirement of digital community and characteristics of loT, a hierarchical security architecture including defense-in-deep cybersecurity and distribute secure control is proposed. A high-assurance trust model, which assumes insider compromise, which exists in the digital community, is finally proposed according to the security issues analysis.

Development of an industrial Internet of things suite for smart factory towards re-industrialization

Re-industrialization, which supports industrial upgrading and transformation, promotes smart production and high value-added manufacturing processes, and helps to create new momentum for the economic. Under the current situation, industrialists encounter several chal- lenges to achieve re-industrialization. Firstly, the cost and technical thresholds for industrialists to leverage emerging technologies are high. Secondly, there are huge quantities and numerous types of Internet of things （IoT） devices in smart factories, warehouses and offices. The enormous extents of data exchange and communication, manage- ment, monitoring and control of IoT devices as well as the establishment and maintenance of a reliable cloud platform hinder industrialists to implement an integrated smart production management. Therefore, to achieve re-indus- trialization, an industrial Internet of things （IIoT） suite consisting of a micro-services-based IIoT cloud platform and IIoT-based smart hub is proposed, which helps to materialize re-industrialization and to conduct industrial upgrading and transformation to achieve smart production and high value-added manufacturing processes.

Research on Intelligent Transportation System and Its Key Technology based on IOT

This paper presents a design scheme of intelligent transportation system based on the Internet of things. First, the paper elaborated the related technical and functional demand of intelligent traffic system, designed the gateway level model and the overall project. Then, we design gateway hardware circuit according to the overall plan, and design the gateway application software according to the functional requirements. Through the experiment and simulation results show that, the intelligent transportation system gateway based on Internet of things is ability to create ZigBee network through the way of wireless access, GPRS network, Ethernet access based on the wired way, to realizes multimode access, multi-protocol conversion gateway, ad hoc network functions.

Teaching Digital Literacy： The Outcomes from a Learning Lab

In this article, we describe the recent developments in higher education relative to the digital outcomes. Between these evolutions, we are witnessing new teaching locations or sites called ＂learning labs＂. The aim of this article is to present how the deployment of such a location （sometimes named third places） can offer some new perspectives, modifies the way of teaching and gives some interesting results both from the teachers＇ point of view （in terms of assessment of knowledge and know-how） and for the learners （in terms of motivation, immersion and exchanges）. In a second phase, we will focus on the predominant role that electronics can take in setting up formations, especially around ＂connected objects＂ （i.e. communicating devices connected to networks）. We will illustrate concretely our idea around an experimental training which has obtained the national label GEN （＂Grande Ecole du Numkrique＂）.

INTERNET OF CONNECTED SERVGOODS:CONSIDERATIONS,CONSEQUENCES AND CONCERNS

In an earlier paper （Tien 2012）, the author augurs that, in contrast to the first and second industrial revolutions which respectively focused on the development and the mass production of goods, the next - or third - industrial revolution is focused on the integration of services and/or goods; it began in this second decade of the 21st Century. The Third Industrial Revolution （TIR） is underpinned by the integration or mass customization of services and/or goods. The benefits of real-time mass customization cannot be over-stated as goods and services become indistinguishable and are co-produced as ＂ServGoods＂, resulting in an overwhelming economic advantage to the industrialized countries where the consuming customers are at the same time the co-producing producers. Adding sensors to these ServGoods and letting them connect or communicate among themselves or with other ServGoods can result in an Intemet of Things （i.e., connected ServGoods）. A number of considerations, consequences and concerns relating to such an Intemet of Connected ServGoods are discussed herein.

Smart manufacturing systems for Industry 4.0： Conceptual framework, scenarios, and future perspectives

Information and communication technology is undergoing rapid development, and many disruptive technologies, such as cloud computing, Internet of Things, big data, and artificial intelligence, have emerged. These technologies are permeating the manufacturing industry and enable the fusion of physical and virtual worlds through cyber-physical systems （CPS）, which mark the advent of the fourth stage of industrial production （i.e., Industry 4.0）. The widespread application of CPS in manufacturing environments renders manufacturing sys- tems increasingly smart. To advance research on the implementation of Industry 4.0, this study examines smart manufacturing systems for Industry 4.0. First, a conceptual framework of smart manufacturing systems for Industry 4.0 is presented. Second, demonstrative scenarios that pertain to smart design, smart machining, smart control, smart monitoring, and smart scheduling, are presented. Key technologies and their possible applications to Industry 4.0 smart manufacturing systems are reviewed based on these demonstrative scenarios. Finally, challenges and future perspectives are identified and discussed.

Early Warning Smartphone Diagnostics for Water Security and Analysis Using Real-Time pH Mapping

Early detection of environmental disruption, unintentional or otherwise, is increasingly desired to ensure hazard minimization in many settings. Here, using a field-portable, smartphone fluorimeter to assess water quality based on the pH response of a designer probe, a map of pH of public tap water sites has been obtained. A custom designed Android application digitally processed and mapped the results utilizing the global positioning system （GPS） service of the smartphone. The map generated indicates no disruption in pH for all sites measured, and all the data are assessed to fall inside the upper limit of local government regulations, consistent with authority reported measurements. This implementation demonstrates a new security concept： network environmental forensics utilizing the potential of novel smartgrid analysis with wireless sensors for the detection of potential disruption to water quality at any point in the city. This concept is applicable across all smartgrid strategies within the next generation of the Internet of Things and can be extended on national and global scales to address a range of target analytes, both chemical and biological.